達標人 ID: 28

CVAT 專案 ID: 104 前往 CVAT
任務代碼: 53085034
建立時間: 2025-12-30 08:11:51
CVAT 標註統計 載入中...
載入中...
訓練參數設定
載入中...
訓練歷史 4 次
訓練 ID 狀態 Comet ML 任務數量 訓練時長 開始時間 結束時間 模型檔案路徑 進度資訊
168 Failed 查看訓練 270
9051, 9050, 9049, 9048, 9047, 9046, 9045, 9044, 9043, 9042, 9041, 9040, 9039, 9038, 9037, 9036, 9035, 9034, 9033, 8692, 8691, 8690, 8689, 8688, 8686, 8659, 8658, 8657, 8432, 8431, 8430, 8429, 8428, 8425, 8282, 8281, 7883, 7882, 7626, 7625, 7362, 7361, 7360, 7359, 7358, 7357, 7355, 7354, 7092, 7091, 7071, 7070, 7018, 7012, 7005, 7004, 7003, 7002, 6904, 6899, 6882, 6881, 6671, 6605, 6604, 6601, 6600, 6599, 6597, 6595, 6594, 6592, 6591, 6589, 6588, 6587, 6586, 6579, 6578, 6577, 6576, 6571, 6567, 6524, 6523, 6522, 6521, 6510, 6509, 6506, 6505, 6478, 6477, 6474, 6473, 6470, 6469, 6454, 6453, 6452, 6451, 6419, 6418, 5904, 5903, 5902, 5827, 5826, 5825, 5824, 5758, 5757, 5755, 5754, 5595, 5594, 5589, 5588, 5587, 5586, 5578, 5577, 5576, 5564, 5563, 5561, 5559, 5453, 5452, 5451, 5450, 5448, 5445, 5444, 5443, 5442, 5441, 5440, 5438, 5431, 5413, 5405, 5404, 5391, 5390, 5389, 5388, 5382, 5381, 5380, 5379, 5376, 5375, 5342, 5272, 5234, 5233, 5232, 5231, 5204, 5203, 5198, 5197, 4989, 4988, 4985, 4984, 4983, 4982, 4961, 4960, 4959, 4958, 4957, 4956, 4953, 4952, 4951, 4950, 4949, 4948, 4947, 4946, 4931, 4930, 4723, 4722, 4720, 4719, 4718, 4717, 4646, 4644, 4642, 4640, 4638, 4636, 4634, 4632, 4630, 4628, 4626, 4624, 4623, 4620, 4619, 4616, 4614, 4612, 4604, 4603, 4602, 4601, 4600, 4599, 4598, 4595, 4593, 4591, 4588, 4587, 4578, 4571, 4570, 4569, 4568, 4563, 4562, 4560, 4558, 4556, 4541, 4540, 4539, 4538, 4534, 4533, 4531, 4529, 4526, 4524, 4522, 4520, 4491, 4490, 4489, 4488, 4487, 4486, 4479, 4476, 4301, 4300, 4298, 4297, 4296, 4294, 4285, 4237, 4236, 4056, 4055, 4054, 4053, 4033, 4032, 4027, 4026, 3969, 3939
5 分鐘 02-06 07:29 02-06 07:35
無檔案路徑
訓練失敗: CUDA error: unspecified launch failure Search for `cudaErrorLaunchFailure' in https://docs.nvidia.com/cuda/cuda-runtime-api/group__CUDART__TYPES.html for more information. Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
164 Completed 查看訓練 292
8692, 8691, 8690, 8689, 8688, 8686, 8659, 8658, 8657, 8432, 8431, 8430, 8429, 8428, 8425, 8282, 8281, 7883, 7882, 7626, 7625, 7362, 7361, 7360, 7359, 7358, 7357, 7355, 7354, 7092, 7091, 7071, 7070, 7018, 7012, 7005, 7004, 7003, 7002, 6904, 6899, 6882, 6881, 6671, 6605, 6604, 6601, 6600, 6599, 6597, 6595, 6594, 6592, 6591, 6589, 6588, 6587, 6586, 6579, 6578, 6577, 6576, 6571, 6567, 6524, 6523, 6522, 6521, 6510, 6509, 6506, 6505, 6478, 6477, 6474, 6473, 6470, 6469, 6454, 6453, 6452, 6451, 6419, 6418, 5904, 5903, 5902, 5827, 5826, 5825, 5824, 5758, 5757, 5755, 5754, 5595, 5594, 5589, 5588, 5587, 5586, 5578, 5577, 5576, 5564, 5563, 5561, 5559, 5453, 5452, 5451, 5450, 5448, 5445, 5444, 5443, 5442, 5441, 5440, 5438, 5431, 5413, 5405, 5404, 5391, 5390, 5389, 5388, 5382, 5381, 5380, 5379, 5376, 5375, 5343, 5342, 5273, 5272, 5234, 5233, 5232, 5231, 5204, 5203, 5198, 5197, 4989, 4988, 4985, 4984, 4983, 4982, 4961, 4960, 4959, 4958, 4957, 4956, 4953, 4952, 4951, 4950, 4949, 4948, 4947, 4946, 4931, 4930, 4723, 4722, 4720, 4719, 4718, 4717, 4647, 4646, 4645, 4644, 4643, 4642, 4641, 4640, 4639, 4638, 4637, 4636, 4635, 4634, 4633, 4632, 4631, 4630, 4629, 4628, 4627, 4626, 4625, 4624, 4623, 4622, 4621, 4620, 4619, 4618, 4617, 4616, 4615, 4614, 4613, 4612, 4604, 4603, 4602, 4601, 4600, 4599, 4598, 4597, 4596, 4595, 4594, 4593, 4592, 4591, 4590, 4588, 4587, 4586, 4579, 4578, 4571, 4570, 4569, 4568, 4564, 4563, 4562, 4561, 4560, 4559, 4558, 4557, 4556, 4555, 4541, 4540, 4539, 4538, 4535, 4534, 4533, 4532, 4531, 4530, 4529, 4528, 4527, 4526, 4525, 4524, 4523, 4522, 4521, 4520, 4491, 4490, 4489, 4488, 4487, 4486, 4479, 4476, 4301, 4300, 4298, 4297, 4296, 4294, 4285, 4237, 4236, 4056, 4055, 4054, 4053, 4033, 4032, 4027, 4026, 3969, 3940, 3939
2.2 小時 01-31 16:21 01-31 18:35
dataset/cvat_train/training_id_28_time_2026-01-31T16:26:56.451042/weights/best.pt
訓練完成 epoch 100 mAP50 0.8484
162 Completed 查看訓練 286
8659, 8658, 8657, 8432, 8431, 8430, 8429, 8428, 8425, 8282, 8281, 7883, 7882, 7626, 7625, 7362, 7361, 7360, 7359, 7358, 7357, 7355, 7354, 7092, 7091, 7071, 7070, 7018, 7012, 7005, 7004, 7003, 7002, 6904, 6899, 6882, 6881, 6671, 6605, 6604, 6601, 6600, 6599, 6597, 6595, 6594, 6592, 6591, 6589, 6588, 6587, 6586, 6579, 6578, 6577, 6576, 6571, 6567, 6524, 6523, 6522, 6521, 6510, 6509, 6506, 6505, 6478, 6477, 6474, 6473, 6470, 6469, 6454, 6453, 6452, 6451, 6419, 6418, 5904, 5903, 5902, 5827, 5826, 5825, 5824, 5758, 5757, 5755, 5754, 5595, 5594, 5589, 5588, 5587, 5586, 5578, 5577, 5576, 5564, 5563, 5561, 5559, 5453, 5452, 5451, 5450, 5448, 5445, 5444, 5443, 5442, 5441, 5440, 5438, 5431, 5413, 5405, 5404, 5391, 5390, 5389, 5388, 5382, 5381, 5380, 5379, 5376, 5375, 5343, 5342, 5273, 5272, 5234, 5233, 5232, 5231, 5204, 5203, 5198, 5197, 4989, 4988, 4985, 4984, 4983, 4982, 4961, 4960, 4959, 4958, 4957, 4956, 4953, 4952, 4951, 4950, 4949, 4948, 4947, 4946, 4931, 4930, 4723, 4722, 4720, 4719, 4718, 4717, 4647, 4646, 4645, 4644, 4643, 4642, 4641, 4640, 4639, 4638, 4637, 4636, 4635, 4634, 4633, 4632, 4631, 4630, 4629, 4628, 4627, 4626, 4625, 4624, 4623, 4622, 4621, 4620, 4619, 4618, 4617, 4616, 4615, 4614, 4613, 4612, 4604, 4603, 4602, 4601, 4600, 4599, 4598, 4597, 4596, 4595, 4594, 4593, 4592, 4591, 4590, 4588, 4587, 4586, 4579, 4578, 4571, 4570, 4569, 4568, 4564, 4563, 4562, 4561, 4560, 4559, 4558, 4557, 4556, 4555, 4541, 4540, 4539, 4538, 4535, 4534, 4533, 4532, 4531, 4530, 4529, 4528, 4527, 4526, 4525, 4524, 4523, 4522, 4521, 4520, 4491, 4490, 4489, 4488, 4487, 4486, 4479, 4476, 4301, 4300, 4298, 4297, 4296, 4294, 4285, 4237, 4236, 4056, 4055, 4054, 4053, 4033, 4032, 4027, 4026, 3969, 3940, 3939
461.0 小時 01-12 07:44 01-31 12:44
dataset/cvat_train/training_id_28_time_2026-01-31T02:39:02.513084/weights/best.pt
訓練完成 epoch 100 mAP50 0.8467
154 Completed 查看訓練 283
8432, 8431, 8430, 8429, 8428, 8425, 8282, 8281, 7883, 7882, 7626, 7625, 7362, 7361, 7360, 7359, 7358, 7357, 7355, 7354, 7092, 7091, 7071, 7070, 7018, 7012, 7005, 7004, 7003, 7002, 6904, 6899, 6882, 6881, 6671, 6605, 6604, 6601, 6600, 6599, 6597, 6595, 6594, 6592, 6591, 6589, 6588, 6587, 6586, 6579, 6578, 6577, 6576, 6571, 6567, 6524, 6523, 6522, 6521, 6510, 6509, 6506, 6505, 6478, 6477, 6474, 6473, 6470, 6469, 6454, 6453, 6452, 6451, 6419, 6418, 5904, 5903, 5902, 5827, 5826, 5825, 5824, 5758, 5757, 5755, 5754, 5595, 5594, 5589, 5588, 5587, 5586, 5578, 5577, 5576, 5564, 5563, 5561, 5559, 5453, 5452, 5451, 5450, 5448, 5445, 5444, 5443, 5442, 5441, 5440, 5438, 5431, 5413, 5405, 5404, 5391, 5390, 5389, 5388, 5382, 5381, 5380, 5379, 5376, 5375, 5343, 5342, 5273, 5272, 5234, 5233, 5232, 5231, 5204, 5203, 5198, 5197, 4989, 4988, 4985, 4984, 4983, 4982, 4961, 4960, 4959, 4958, 4957, 4956, 4953, 4952, 4951, 4950, 4949, 4948, 4947, 4946, 4931, 4930, 4723, 4722, 4720, 4719, 4718, 4717, 4647, 4646, 4645, 4644, 4643, 4642, 4641, 4640, 4639, 4638, 4637, 4636, 4635, 4634, 4633, 4632, 4631, 4630, 4629, 4628, 4627, 4626, 4625, 4624, 4623, 4622, 4621, 4620, 4619, 4618, 4617, 4616, 4615, 4614, 4613, 4612, 4604, 4603, 4602, 4601, 4600, 4599, 4598, 4597, 4596, 4595, 4594, 4593, 4592, 4591, 4590, 4588, 4587, 4586, 4579, 4578, 4571, 4570, 4569, 4568, 4564, 4563, 4562, 4561, 4560, 4559, 4558, 4557, 4556, 4555, 4541, 4540, 4539, 4538, 4535, 4534, 4533, 4532, 4531, 4530, 4529, 4528, 4527, 4526, 4525, 4524, 4523, 4522, 4521, 4520, 4491, 4490, 4489, 4488, 4487, 4486, 4479, 4476, 4301, 4300, 4298, 4297, 4296, 4294, 4285, 4237, 4236, 4056, 4055, 4054, 4053, 4033, 4032, 4027, 4026, 3969, 3940, 3939
3.7 小時 12-30 08:15 12-30 11:56
dataset/cvat_train/training_id_28_time_2025-12-30T08:30:34.500514/weights/best.pt
訓練完成 epoch 100 mAP50 0.8470

3

成功訓練

0

待處理

1

失敗

116.8h

平均時長